Title :
High resolution radar clutter classification
Author :
Anastassopoulos, Vassilis ; Lampropoulos, George A.
Author_Institution :
A.U.G. Signals Ltd., Toronto, Ont., Canada
Abstract :
Classification of high resolution radar echoes is carried out using the generalized compound probability density function (GC-pdf). The system noise, usually referred to as thermal noise, is incorporated in the model. The classification procedure comprises the estimation of the parameters of the GC-pdf. The classification vector is properly formed to indicate special cases of the GC-pdf and to choose existing CFAR detectors
Keywords :
parameter estimation; pattern classification; radar clutter; radar signal processing; random noise; thermal noise; CFAR detectors; classification procedure; classification vector; generalized compound probability density function; high resolution radar clutter classification; radar echoes; system noise; thermal noise; Clutter; Electromagnetic scattering; Energy resolution; Parameter estimation; Probability density function; Radar scattering; Rayleigh scattering; Signal resolution; Speckle; Statistical distributions;
Conference_Titel :
Radar Conference, 1995., Record of the IEEE 1995 International
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2121-9
DOI :
10.1109/RADAR.1995.522628
